This site uses cookies to improve your experience. By viewing our content, you are accepting the use of cookies. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country we will assume you are from the United States. View our privacy policy and terms of use.

Remove Customer Relationship Management Remove Data Entry Remove ML Related Topics
Customer Relationship Customer Expectations Sentiment Analysis CRM Innovation AI Machine Learning Customer Retention Artificial Intelligence Technology More Related Topics >
article thumbnail

How to Leverage Technology in Hybrid and Remote Work

SugarCRM

JULY 7, 2022

Now more than ever, modern customer relationship management (CRM) systems must support the ability to stay close to existing customers and help secure new prospects. More importantly, your CRM should remove blind spots, enable rich information on the customer, and reduce blind spots and roadblocks.

Technology 55
Technology Technology Data Entry ML 55
article thumbnail

How CX Teams Can Use AI to Stay Ahead of Customer Needs

SugarCRM

FEBRUARY 28, 2023

Such solutions heavily rely on customer relationship management (CRM) software in the business space. But with great volumes of data, there appears a new issue: data accuracy. Recent studies have shown that CRM data accuracy diminishes yearly by approximately 30%.

AI 26
AI Data Entry CX CRM 26
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

 

Stay Connected

Join 24,000+ Insiders by signing up for our newsletter

About
Webinars
About
Editions
Webinars
Editions
Topics
Powered by Aggregage | Terms and Conditions | Your California Rights and Privacy Policy
© Aggregage 2024